Christopher Kermorvant

发表

Dropout Improves Recurrent Neural Networks for Handwriting Recognition

Christopher Kermorvant, Jérôme Louradour, Vu Pham, 2013, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Where to apply dropout in recurrent neural networks for handwriting recognition?

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Introducing Domain and Typing Bias in Automata Inference

Colin de la Higuera, Christopher Kermorvant, Daniel Fredouille, 2004, ICGI.

On using alternative recognition candidates and scores for handwritten documents classification

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014 .

Automata learning for numerical entities extraction from OCR output

Christopher Kermorvant, 2007 .

Evolution of Sparse Constraints in Deep AI: From a general sparse penalty to Structured Sparsity

Hervé Glotin, Xanadu Halkias, Christopher Kermorvant, 2013 .

Some Hints on the Teaching of Machine Learning to Industrial Practitioners

Christopher Kermorvant, 2008 .

The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition

Christopher Kermorvant, Marcella Cornia, L. Baraldi, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts

Lambert Schomaker, Alejandro Héctor Toselli, Enrique Vidal, 2018, DH.

General Sparse Penalty in Deep Belief Networks: Towards Domain Adaptation

Hervé Glotin, Christopher Kermorvant, Xanadu Halkias, 2013 .

Curriculum Learning for Handwritten Text Line Recognition

Christopher Kermorvant, Jérôme Louradour, J. Louradour, 2013, 2014 11th IAPR International Workshop on Document Analysis Systems.

Improving Probabilistic Automata Learning with Additional Knowledge

Colin de la Higuera, Pierre Dupont, Christopher Kermorvant, 2004, SSPR/SPR.

Stochastic Grammatical Inference with Multinomial Tests

Pierre Dupont, Christopher Kermorvant, Christopher Kermorvant, 2002, ICGI.

Framewise and CTC training of Neural Networks for handwriting recognition

Hermann Ney, Christopher Kermorvant, Jérôme Louradour, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2014, SLSP.

A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters

Christopher Kermorvant, Enrique Vidal, Dominique Stutzmann, 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Early Chloride Intake Does Not Parallel That of Sodium in Extremely-Low-Birth-Weight Infants and May Impair Neonatal Outcomes

Christopher Kermorvant, A. Lapillonne, J. Gouyon, 2012, Journal of pediatric gastroenterology and nutrition.

Learning to detect, localize and recognize many text objects in document images from few examples

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2018, International Journal on Document Analysis and Recognition (IJDAR).

Learning Languages with Help

Colin de la Higuera, Christopher Kermorvant, Christopher Kermorvant, 2002, ICGI.

Variable length and context-dependent HMM letter form models for Arabic handwritten word recognition

Chafic Mokbel, Christopher Kermorvant, Farès Menasri, 2012, Electronic Imaging.

The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition

Christopher Kermorvant, Farès Menasri, Anne-Laure Bianne-Bernard, 2012, Electronic Imaging.

Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition

Chafic Mokbel, Christopher Kermorvant, Farès Menasri, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Handwritten Text Recognition from Crowdsourced Annotations

Christopher Kermorvant, H. Mouchère, Tristan Faine, 2023, HIP@ICDAR.

Confidence Estimation for Object Detection in Document Images

Christopher Kermorvant, T. Paquet, Mélodie Boillet, 2022, Pattern Recognit. Lett..

From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

Alexei Lavrentiev, Christopher Kermorvant, Yann Leydier, 2015 .

Paragraph text segmentation into lines with Recurrent Neural Networks

Christian Wolf, Christopher Kermorvant, Jérôme Louradour, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Over-Generative Finite State Transducer N-Gram for Out-of-Vocabulary Word Recognition

Christopher Kermorvant, Ronaldo O. Messina, Christopher Kermorvant, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

Tandem HMM with convolutional neural network for handwritten word recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Landscape Analysis for the Specimen Data Refinery

Alan R. Williams, Christopher Kermorvant, Ben Scott, 2020, Research Ideas and Outcomes.

The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

Fully convolutional network with dilated convolutions for handwritten text line segmentation

Christopher Kermorvant, Clément Chatelain, Thierry Paquet, 2018, International Journal on Document Analysis and Recognition (IJDAR).

How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning

Christopher Kermorvant, R. Cucchiara, S. Cascianelli, 2023, ICDAR.

Sample-Dependent Feature Selection for Faster Document Image Categorization

Christopher Kermorvant, Jérôme Louradour, J. Louradour, 2011, 2011 International Conference on Document Analysis and Recognition.

Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Recognition : Learning Where to Start and When to Stop

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2017 .

Learning to detect and localize many objects from few examples pdf

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2016, ArXiv.

Hierarchical Text Segmentation for Medieval Manuscripts

Christopher Kermorvant, Amir Hazem, Dominique Stutzmann, 2020, COLING.

Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks

Christopher Kermorvant, Thierry Paquet, M'elodie Boillet, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Books of Hours. the First Liturgical Data Set for Text Segmentation.

Christopher Kermorvant, Béatrice Daille, Amir Hazem, 2020, LREC.

From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

Christopher Kermorvant, Théodore Bluche, A. Lavrentiev, 2015 .

Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers

Christopher Kermorvant, Thierry Paquet, Martin Maarand, 2021, HIP@ICDAR.